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SDI’s VP of Procurement, Kurt Meiers, Presents “Bringing Flex to your Outsourcing Model” at ProcureCon Indirect West 2016

SDI’s VP of Procurement, Kurt Meiers, Presents “Bringing Flex to your Outsourcing Model” at ProcureCon Indirect West 2016

Last month, senior procurement practitioners ranging from Fortune 500 companies to the world’s most exciting startups gathered in Scottsdale, Arizona for 3 days of interactive education, networking and demonstrations at ProcureCon Indirect West. The event brings together a unique blend of procurement, purchasing and supply chain experts from across all industries to share their experiences and knowledge with a team of people who truly embrace the strategically important field of procurement.

During the event, SDI had the pleasure of exhibiting and speaking with attendees as well as having SDI’s Vice President of Procurement, Kurt Meiers, address the audience. In his presentation, “Bringing Flex to your Outsourcing Model,” he talked about Build, Operate & Transfer (BOT), as an outsourcing model that has many examples globally in the infrastructure environment, as well as its use in off-shoring of services, whether it’s call-centers or accounting centers.

BOT models are used where companies have a desire to develop new capabilities, build out best practices or reduce operational costs by leveraging the expertise, innovation and investment of service providers. A BOT model allows companies to reduce risk by partnering with a proven provider, while improving speed to value. Applying the BOT model to the MRO supply chain makes sense given the challenges and risks associated with the type of change in operating model – one that has touch points in procurement, finance, operations, maintenance and engineering.

Learn more about how to Flex your thinking about how a BOT model can deliver value for your company.

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Data standardization is part of Google’s new initiative to help people find relevant datasets.  With a recent study from Data Science Central, it’s estimated that data scientists spend 60% of their time preparing data for analysis, rather than performing the analysis itself.  Therefore, the goal of this schema is to drive standardization so that more time can be spent analyzing it.